Bayesian Reliability / Edition 1

Bayesian Reliability / Edition 1

by Michael S. Hamada, Alyson Wilson, C. Shane Reese, Harry Martz
     
 

Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The adoption and application of Bayesian methods in virtually all branches of science and engineering have significantly increased over the past few decades. This increase is largely due to advances in simulation based computational tools for… See more details below

Overview

Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The adoption and application of Bayesian methods in virtually all branches of science and engineering have significantly increased over the past few decades. This increase is largely due to advances in simulation based computational tools for implementing Bayesian methods.

Product Details

ISBN-13:
9780387779485
Publisher:
Springer New York
Publication date:
07/10/2008
Series:
Springer Series in Statistics
Edition description:
2008
Pages:
436
Product dimensions:
6.30(w) x 9.30(h) x 1.00(d)

Table of Contents

1 Reliability Concepts 1

2 Bayesian Inference 21

3 Advanced Bayesian Modeling and Computational Methods 51

4 Component Reliability 85

5 System Reliability 125

6 Repairable System Reliability 161

7 Regression Models in Reliability 203

8 Using Degradation Data to Assess Reliability 271

9 Planning for Reliability Data Collection 319

10 Assurance Testing 343

A Acronyms and Abbreviations 375

B Special Functions and Probability Distributions 377

References 413

Author Index 427

Subject Index 431

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